Optimal Phase Balancing Planning for Loss Reduction in Distribution Systems using a Specialized Genetic Algorithm
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Keywords
Distribution systems, phase balancing, energy loss reduction.
Abstract
Unbalanced operation of distribution systems deteriorates power quality andincreases investment and operation costs. Feeder reconfiguration and phaseswapping are the two main approaches for load balancing, being the formermore difficult to execute due to the reduced number of sectionalizing switchesavailable in most distribution systems. On the other hand, phase swappingconstitutes a direct, effective and low cost alternative for load balancing. The main contribution of this paper is the proposal of an optimization model anda solution technique for phase balancing planning in distribution systems. Asregards the optimization model, a mixed integer nonlinear programming formulationis proposed. On the other hand, the proposed solution techniqueconsists on a specialized genetic algorithm. To show the effectiveness of theproposed approach, several tests are carried out with two distribution systemsof 37 and 19 buses, this last one with different load models. Results showedthat in addition to the achievement of the primary objective of loss reduction,phase balancing allows obtaining other technical benefits such as improvementof voltage profile and alleviation of congested lines.
MSC: 87.55.de, 90C59
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References
[2] C-H. Lin, C-S. Chen, H-J. Chuang, M-Y. Huang, C-W Huang. An Expert System for Three-Phase Balancing of Distribution Feeders.IEEE Transactions on Power Systems, ISSN 0885-8950, 23(3), 1488–1496, (2008).
[3] C-H. Lin, C-S. Chen, H-J. Chuang, C-Y. Ho. Heuristic Rule-Based Phase Ba- lancing of Distribution Systems by Considering Customer Load Patterns. IEEE Transactions on Power Systems, ISSN 0885-8950, 20(2), 709–716, (2005).
[4] M-Y. Huang, C-S. Chen, C-H. Lin, M-S. Kang, H-J. Chuang, C-W. Huang. Three-Phase Balancing of Distribution Feeders using Immune Algorithm. IET Generation, Transmission and Distribution, ISSN 1751-8687, 2(3), 383–392, (2008).
[5] Z. Jinxiang, B. Griff, MY. Chow. Phase Balancing using Simulated Annealing. IEEE Transactions on Power Systems, ISSN 0885-8950, 14(4), 1508–1513, (1999).
[6] A. Ruiz, JC. Galviz, R. Gallego. Solución al Problema de Balance de Frases y Reconfiguración de Alimentadores Primarios bajo un Modelamiento Trifásico usando Simulated Annealing. Scientia et Technica, ISSN 0122-1701, 12(30), 1–6, (2006).
[7] JC. Galviz, M. Granada, R.Gallego. Reducción del desbalance en sistemas de distribución aplicando Búsqueda Tabú. Simposio Internacional Sobre Calidad de la Energía Eléctrica-SICEL, 1–6 (2005).
[8] N. Gupta, A. Swarnkar, KR. Niazi. A novel strategy for phase balancing in threephase four-wire distribution systems. IEEE Power and Energy Society General Meeting, ISSN 1944-9925, San Diego (CA), 1–7, 2011.
[9] RA. Hooshmad, S. Soltani. Fuzzy Optimal Phase Balancing of Radial and Meshed Distribution Networks Using BF-PSO Algorithm. IEEE Transactions on Power Systems, ISSN 0885-8950, 27(1), 47–57, (2012).
[10] Y. Tuppadung, W. Kurutach. The Modified Particle Swarm Optimization for Phase Balancing. IEEE Region 10 Conference TENCOM, 1–4, 2006.
[11] M. Siti, DV. Nicolae, AA. Jimoh, A. Ukil. Reconfiguration and Load Balancing in the LV and MV Distribution Networks for Optimal Performance. IEEE Transactions on Power Delivery, ISSN 0885-8977, 22(4), 2534–2540, (2007).
[12] RF. Chang, CN. Lu. Feeder Reconfiguration for Load Factor Improvement. IEEE Power Engineering Society Winter Meeting, 2(1), 980–984, (2002).
[13] A. Delbem, A. de Carvalo, NG. Bretas. Main Chain Representation for Evolutionary Algorithms Applied to Distribution System Reconfiguration. IEEE Transactions on Power Systems, ISSN 0885-8950, 20(1), 425–436, (2005).
[14] TH. Cheng, JT. Cherng. Optimal Phase Arrangement of Distribution Transformers Connected to a Primary Feeder for System Unbalance Improvement and Loss Reduction using a Genetic Algorithm. IEEE Transactions on Power Systems, ISSN 0885-8950, 15(3), 994–1000, (2000).
[15] WH. Kersting. Distribution System Modeling and Analysis. ISBN 13: 9780849358067 CRC Press LLC. New York 2000.
[16] JE. Beasley, PC. Chu. A Genetic Algorithm for the Generalized Assignment Problem. Computers Operations Research, ISSN 0305-0548, 24(1), 17–23, (1997).
[17] WH. Kersting. Radial Distribution Test Feeders.IEEE Transactions on Power Systems, ISSN 0885-8950, 6(3), 975–985, (1991).
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